[en] [en] BACKGROUND: Glomerular filtration rate (GFR) estimation is crucial in renal transplantation. While creatinine-based estimating equations (eGFRcrea) are widely used, their performance is suboptimal due to non-GFR determinants. Recent KDIGO guidelines recommend greater use of cystatin C-based equations, either alone (eGFRcys) or combined with creatinine (eGFRcrea+cys). This study compared the performance of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) (2009/2021) and European Kidney Function Consortium (EKFC) equations in a large cohort of kidney transplant recipients, also analyzing discordance between eGFRcrea and eGFRcys.
METHODS: This multicenter retrospective study included 1348 stable kidney transplant recipients from France and the Netherlands. Measured GFR (mGFR) served as the reference. Creatinine and cystatin C were measured using standardized assays. Performance was assessed using bias, P20, P30 and imprecision. Discordance was defined as >20% difference between eGFRcrea and eGFRcys.
RESULTS: EKFC equations outperformed CKD-EPI counterparts for all biomarkers. EKFCcrea+cys had the highest P30 (87.6%) and was the only unbiased combined equation. Discordant eGFR results were common between eGFRcrea and eGFRcys (42% with EKFC, >50% with CKD-EPI). Combined equations showed better performance in discordant groups, particularly with EKFC. CKD-EPI equations performed poorly in patients with eGFRcrea lower than eGFRcys.
CONCLUSION: EKFC equations-especially EKFCcrea+cys-provide superior accuracy in KTR. Discordance between eGFRcrea and eGFRcys is frequent, reinforcing the value of combined equations. Future studies should validate these findings across diverse populations and assess the prognostic impact of discordant GFR estimates.
Disciplines :
Urology & nephrology
Author, co-author :
Delanaye, Pierre ; Université de Liège - ULiège > Département des sciences cliniques > Néphrologie ; Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Université de Montpellier, Nîmes, France
van Londen, Marco ; Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
Vidal-Petiot, Emmanuelle ; Assistance Publique-Hôpitaux de Paris, Bichat Hospital, Université Paris Cité and INSERM U1148, LVTS, Paris, France
Masson, Ingrid; Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
Maillard, Nicolas; Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
Bouquegneau, Antoine ; Université de Liège - ULiège > Département des sciences cliniques > Néphrologie
Weekers, Laurent ; Université de Liège - ULiège > Département des sciences cliniques > Néphrologie
de Borst, Martin H ; Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
Bakker, Stephan J L; Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
Pottel, Hans ; Université de Liège - ULiège > Département des sciences cliniques ; Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
Flamant, Martin; Assistance Publique-Hôpitaux de Paris, Bichat Hospital, Université Paris Cité and INSERM U1148, LVTS, Paris, France
Mariat, Christophe; Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
Language :
English
Title :
Creatinine, cystatin C or both to estimate glomerular filtration rate in kidney transplant recipients?